UG

Indirectly addresses sustainability since any quantitative modelling of sustainability requires mathematics. Mathematics is fundamental to sustainability because it provides the tools needed to understand, model, and solve complex environmental, economic, and social challenges. Through mathematical modelling, it is possible to simulate environmental systems, predict future scenarios, and develop sustainable solutions. Statistical analysis supports the monitoring of sustainability indicators, such as carbon emissions, water usage, and population growth, guiding policies that balance economic growth with environmental conservation.

UG

Broad introduction to environmental science covering Earth structure and dynamics, the atmosphere and climate change (including greenhouse effect, Milankovitch cycles, and volcanism), biodiversity, population growth and regulation, ecological communities, succession, and ecosystems. Also covers natural resources and conservation biology through case studies. Includes compulsory site visits. Note: this study-unit is not part of the mainstream BSc (Hons) Biology programme but is offered by the Department of Biology.

UG

Covers the geological evolution of the Mediterranean and the Maltese Islands, the Mediterranean climate, the Messinian Salinity Crisis, Mediterranean vegetation, habitats and biodiversity with special reference to habitats of special interest in Malta, and the Mediterranean marine environment. Includes compulsory site visits. Note: this study-unit is not part of the mainstream BSc (Hons) Biology programme but is offered by the Department of Biology.

UG

Directly addresses conservation of species and habitats. Covers risks to biodiversity, causes of species extinction and their management, protected areas, ex-situ conservation, re-introduction programmes, landscape conservation, and conserving evolutionary processes.

UG

Includes introductory coverage of environmental biotechnology, environmental biology, biological resources, and aquaculture and selective breeding. Provides early exposure to applied aspects of biology relevant to sustainable resource use.

UG

Introduces the ecology of biotic communities, emphasising processes governing interactions of organisms with each other and with their abiotic environment, and the movement of material and energy in ecosystems. Fieldwork includes techniques for collecting data on biotic communities and familiarisation with the biotic communities of the Maltese Islands and the Mediterranean. Note: this study-unit is not part of the mainstream BSc (Hons) Biology programme but is offered by the Department of Biology.

UG

Includes treatment of adaptations to water availability, Mediterranean plant communities, and the chemical ecology of plants including secondary metabolites used to control environmental competitors and pathogens. These topics are directly relevant to plant responses to environmental change and ecosystem functioning.

UG

Comprehensive introduction to ecological principles covering population ecology, community ecology, ecosystem processes, energy flow, and nutrient cycling. Covers limiting factors, ecological valency, population dynamics, interspecific interactions, succession, and biomes, with special reference to the Mediterranean area and the Maltese Islands.

UG

Equips students with theoretical and practical knowledge of terrestrial ecological survey techniques, including fauna and vegetation sampling, data analysis, and reporting. Covers the non-marine fauna and the terrestrial flora of the Maltese Islands in the context of field ecological assessment.

UG

Advanced ecology covering population and life-history strategies, maintenance of species diversity, community structure and ecosystem function, biogeography, island biogeography, energy and nutrient transfer in ecosystems, and comparison of natural versus managed ecosystems.

UG

Intensive fieldwork-based study of the full range of coastal and marine habitats of the Maltese Islands, covering adlittoral, littoral, and sublittoral environments. Emphasises field techniques for studying marine ecosystems in the central Mediterranean context and the ecological importance of coastal habitats.

UG

Applied science of maintaining biological diversity. Covers research methods for conservation assessment, monitoring, and management. Addresses the biodiversity crisis, endangered species management, and the cross-disciplinary nature of conservation spanning philosophy, economics, sociology, law, and education.

UG

Directly addresses sustainable use of biological resources. Covers principles of exploitation and management of biological resources, agriculture, horticulture, organic farming, fisheries management, and the aquaculture industry in Malta. Includes site visits to fisheries and aquaculture facilities.

UG

Directly addresses environmental management. Covers remote sensing for environmental monitoring, collection and use of environmental data, GIS and its applications to land-use classification, agriculture and coastal processes, and environmental impact assessment procedures and requirements.

UG

Covers marine ecology including physical and chemical oceanography, productivity, and functional adaptations of marine organisms. Focuses on Mediterranean marine ecology and biogeography, examining how geological, physical, and biological factors interact to produce the observed ecological patterns in the sea.

UG

Includes biotechnological applications in agriculture, horticulture, fisheries, and aquaculture (production technologies, disease control, quality certification). Also covers bioremediation – the use of biological systems to remove contaminants and restore polluted environments – and biotechnology in developing countries.

UG

Uses molecular genetics to assess genetic identity and variability for conservation purposes. Covers genetic variation for sustainable use of biodiversity, inbreeding depression, demography and extinction risk, metapopulation dynamics, and the effects of habitat fragmentation on species viability.

UG

Comprehensive scientific overview of the Maltese natural environment covering geological setting, climate, geomorphology, soils, water resources, habitats (terrestrial, freshwater, and anthropogenic), biota and biogeography, and the interaction of humans with the environment across history.

UG

Directly addresses a core sustainability challenge. Covers major classes of contaminants and pollutants, their environmental fate and transformations, effects at different biological levels of organisation (genetic to ecosystem), biomonitoring, bioremediation, and measures to reduce, eliminate, and prevent environmental pollution.

UG

Core sustainability unit addressing the management of biological resources for future generations. Covers aquaculture and fisheries management, management of marine and terrestrial high-biodiversity areas, EU and international environmental legislation, and the principles of sustainable exploitation of biological resources.

UG

Develops essential tools in linear algebra and differential equations that support the modelling and optimisation of systems relevant to sustainable decision-making.

UG

Provides foundational logical reasoning and problem-solving skills that underpin quantitative literacy and analytical thinking essential for addressing sustainability challenges in science, technology, and decision-making contexts.

UG

Groups are the basis for Vector Spaces and Linear Algebra

UG

Vector spaces are the basis for Linear Algebra, with applications in Gaming, cryptography, and mathematical modelling.

UG

Indirectly addresses sustainability since any quantitative modelling of sustainability requires mathematics. Mathematics is fundamental to sustainability because it provides the tools needed to understand, model, and solve complex environmental, economic, and social challenges. Through mathematical modelling, it is possible to simulate environmental systems, predict future scenarios, and develop sustainable solutions. Statistical analysis supports the monitoring of sustainability indicators, such as carbon emissions, water usage, and population growth, guiding policies that balance economic growth with environmental conservation.

UG

Indirectly addresses sustainability since any quantitative modelling of sustainability requires mathematics. Mathematics is fundamental to sustainability because it provides the tools needed to understand, model, and solve complex environmental, economic, and social challenges. Through mathematical modelling, it is possible to simulate environmental systems, predict future scenarios, and develop sustainable solutions. Statistical analysis supports the monitoring of sustainability indicators, such as carbon emissions, water usage, and population growth, guiding policies that balance economic growth with environmental conservation.

UG

Discrete Mathematics provides a basis for discrete probability, which is essential for statistics which is essential in the scientific study of Sustainability.

UG

Indirectly addresses sustainability since any quantitative modelling of sustainability requires mathematics. Mathematics is fundamental to sustainability because it provides the tools needed to understand, model, and solve complex environmental, economic, and social challenges. Through mathematical modelling, it is possible to simulate environmental systems, predict future scenarios, and develop sustainable solutions. Statistical analysis supports the monitoring of sustainability indicators, such as carbon emissions, water usage, and population growth, guiding policies that balance economic growth with environmental conservation.

UG

How pulley systems reduce the effort needed to lift heavy loads, minimizing energy consumption. Connect this to real-world applications like elevator energy efficiency, water well systems in developing regions, and renewable energy projects.

UG

Develops foundational skills in working with differential equations that support the modelling of dynamic systems essential for creating sustainable engineering solutions.

UG

Develops key tools in vector and matrix algebra that underpin methods used in sustainable design, optimisation, and modelling of efficient engineering systems.

UG

Indirectly addresses sustainability since any quantitative modelling of sustainability requires mathematics. Mathematics is fundamental to sustainability because it provides the tools needed to understand, model, and solve complex environmental, economic, and social challenges. Through mathematical modelling, it is possible to simulate environmental systems, predict future scenarios, and develop sustainable solutions. Statistical analysis supports the monitoring of sustainability indicators, such as carbon emissions, water usage, and population growth, guiding policies that balance economic growth with environmental conservation.

UG

Indirectly addresses sustainability since any quantitative modelling of sustainability requires mathematics. Mathematics is fundamental to sustainability because it provides the tools needed to understand, model, and solve complex environmental, economic, and social challenges. Through mathematical modelling, it is possible to simulate environmental systems, predict future scenarios, and develop sustainable solutions. Statistical analysis supports the monitoring of sustainability indicators, such as carbon emissions, water usage, and population growth, guiding policies that balance economic growth with environmental conservation.

UG

Linear algebra, including the use of matrices and eigenvalues, is crucial for analyzing large datasets in environmental science, helping to uncover patterns and make data-driven decisions.

UG

This study unit helps in developing abstract algebraic thinking that underpins efficient algorithms, coding theory and cryptographic systems, essential for secure digital infrastructure, data integrity and the long-term sustainability of modern technological and communication systems.

UG

Indirectly addresses sustainability since any quantitative modelling of sustainability requires mathematics. Mathematics is fundamental to sustainability because it provides the tools needed to understand, model, and solve complex environmental, economic, and social challenges. Through mathematical modelling, it is possible to simulate environmental systems, predict future scenarios, and develop sustainable solutions. Statistical analysis supports the monitoring of sustainability indicators, such as carbon emissions, water usage, and population growth, guiding policies that balance economic growth with environmental conservation.

UG

Indirectly addresses sustainability since any quantitative modelling of sustainability requires mathematics. Mathematics is fundamental to sustainability because it provides the tools needed to understand, model, and solve complex environmental, economic, and social challenges. Through mathematical modelling, it is possible to simulate environmental systems, predict future scenarios, and develop sustainable solutions. Statistical analysis supports the monitoring of sustainability indicators, such as carbon emissions, water usage, and population growth, guiding policies that balance economic growth with environmental conservation.

UG

Graph theory is essential in data analysis and has applications in Cryptography, Network Security, and Transportation.

UG

Mathematical modelling in meteorology, oceanography

UG

Mathematical modelling in meteorology, oceanography

UG

Indirectly addresses sustainability since any quantitative modelling of sustainability requires mathematics. Mathematics is fundamental to sustainability because it provides the tools needed to understand, model, and solve complex environmental, economic, and social challenges. Through mathematical modelling, it is possible to simulate environmental systems, predict future scenarios, and develop sustainable solutions. Statistical analysis supports the monitoring of sustainability indicators, such as carbon emissions, water usage, and population growth, guiding policies that balance economic growth with environmental conservation.

UG

Supports sustainability by enabling efficient modelling, simulation, and optimisation of complex systems, contributing to informed, data-driven decisions and responsible use of resources.

UG

Indirectly addresses sustainability since any quantitative modelling of sustainability requires mathematics. Mathematics is fundamental to sustainability because it provides the tools needed to understand, model, and solve complex environmental, economic, and social challenges. Through mathematical modelling, it is possible to simulate environmental systems, predict future scenarios, and develop sustainable solutions. Statistical analysis supports the monitoring of sustainability indicators, such as carbon emissions, water usage, and population growth, guiding policies that balance economic growth with environmental conservation.

UG

Linear algebra, including the use of matrices and eigenvalues, is crucial for analyzing large datasets in environmental science, helping to uncover patterns and make data-driven decisions.

UG

Develops abstract reasoning and structural understanding essential to symmetries and algebraic systems, on which frameworks used in sustainable optimisation are built.

UG

Deepens understanding of symmetry and algebraic structures, reinforcing analytical and modelling skills that support sustainable optimisation in areas where symmetry plays a central role.

UG

Indirectly addresses sustainability since any quantitative modelling of sustainability requires mathematics. Mathematics is fundamental to sustainability because it provides the tools needed to understand, model, and solve complex environmental, economic, and social challenges. Through mathematical modelling, it is possible to simulate environmental systems, predict future scenarios, and develop sustainable solutions. Statistical analysis supports the monitoring of sustainability indicators, such as carbon emissions, water usage, and population growth, guiding policies that balance economic growth with environmental conservation.

UG

Indirectly addresses sustainability since any quantitative modelling of sustainability requires mathematics. Mathematics is fundamental to sustainability because it provides the tools needed to understand, model, and solve complex environmental, economic, and social challenges. Through mathematical modelling, it is possible to simulate environmental systems, predict future scenarios, and develop sustainable solutions. Statistical analysis supports the monitoring of sustainability indicators, such as carbon emissions, water usage, and population growth, guiding policies that balance economic growth with environmental conservation.

UG

Indirectly addresses sustainability since any quantitative modelling of sustainability requires mathematics. Mathematics is fundamental to sustainability because it provides the tools needed to understand, model, and solve complex environmental, economic, and social challenges. Through mathematical modelling, it is possible to simulate environmental systems, predict future scenarios, and develop sustainable solutions. Statistical analysis supports the monitoring of sustainability indicators, such as carbon emissions, water usage, and population growth, guiding policies that balance economic growth with environmental conservation.

UG

Indirectly addresses sustainability since any quantitative modelling of sustainability requires mathematics. Mathematics is fundamental to sustainability because it provides the tools needed to understand, model, and solve complex environmental, economic, and social challenges. Through mathematical modelling, it is possible to simulate environmental systems, predict future scenarios, and develop sustainable solutions. Statistical analysis supports the monitoring of sustainability indicators, such as carbon emissions, water usage, and population growth, guiding policies that balance economic growth with environmental conservation.

UG

Indirectly addresses sustainability since any quantitative modelling of sustainability requires mathematics. Mathematics is fundamental to sustainability because it provides the tools needed to understand, model, and solve complex environmental, economic, and social challenges. Through mathematical modelling, it is possible to simulate environmental systems, predict future scenarios, and develop sustainable solutions. Statistical analysis supports the monitoring of sustainability indicators, such as carbon emissions, water usage, and population growth, guiding policies that balance economic growth with environmental conservation.

UG

Indirectly addresses sustainability since any quantitative modelling of sustainability requires mathematics. Mathematics is fundamental to sustainability because it provides the tools needed to understand, model, and solve complex environmental, economic, and social challenges. Through mathematical modelling, it is possible to simulate environmental systems, predict future scenarios, and develop sustainable solutions. Statistical analysis supports the monitoring of sustainability indicators, such as carbon emissions, water usage, and population growth, guiding policies that balance economic growth with environmental conservation.

UG

Graph theory is essential for Cryptography, Network Security, and Transportation.

UG

Indirectly addresses sustainability since any quantitative modelling of sustainability requires mathematics. Mathematics is fundamental to sustainability because it provides the tools needed to understand, model, and solve complex environmental, economic, and social challenges. Through mathematical modelling, it is possible to simulate environmental systems, predict future scenarios, and develop sustainable solutions. Statistical analysis supports the monitoring of sustainability indicators, such as carbon emissions, water usage, and population growth, guiding policies that balance economic growth with environmental conservation.

UG

Indirectly addresses sustainability since any quantitative modelling of sustainability requires mathematics. Mathematics is fundamental to sustainability because it provides the tools needed to understand, model, and solve complex environmental, economic, and social challenges. Through mathematical modelling, it is possible to simulate environmental systems, predict future scenarios, and develop sustainable solutions. Statistical analysis supports the monitoring of sustainability indicators, such as carbon emissions, water usage, and population growth, guiding policies that balance economic growth with environmental conservation.

UG

One of the topics is connectivity within networks, used in modeling social structures and behaviour, feedback and dynamic networks, optimal geographical placing of resource providers.

UG

Soil mechanics, geoengineering, navigation

UG

How friction, heat dissipation, and energy loss affect sustainability. Introduce real-world examples like regenerative braking in electric vehicles.

UG

Indirectly addresses sustainability since any quantitative modelling of sustainability requires mathematics. Mathematics is fundamental to sustainability because it provides the tools needed to understand, model, and solve complex environmental, economic, and social challenges. Through mathematical modelling, it is possible to simulate environmental systems, predict future scenarios, and develop sustainable solutions. Statistical analysis supports the monitoring of sustainability indicators, such as carbon emissions, water usage, and population growth, guiding policies that balance economic growth with environmental conservation.

UG

Differential equations can model population dynamics and ecology, climate change modelling such as CO2 dynamics and global temperature changes, wind and solar energy forecasting, energy storage dynamics, resource depletion, urban planning including traffic flow, crop growth models, waste management models, optimal control, etc., thus enabling scientists to predict changes and design mitigation strategies.

UG

PDEs are used in pollution and environmental management, atmospheric climate models, hydrology solar energy and wind energy forecasting, soil moisture and nutrient transport, traffic flow models, ecosystem modelling, etc.

UG

Graph theory is essential for Cryptography, Network Security, and Transportation.

UG

Mathematical Biology provides modelling tools to shape our complex social-ecological system to be sustainable for current and future generations. This unit includes real-life examples to understand how the provision of food, fresh water, energy and materials to a growing population has come at considerable cost to the complex system of plants, animals and biological processes that make the planet habitable. Models are developed of population growth, competition for available resources, of adaptation strategies to limited resources, of the human impact on the environment and planet's ecosystems, to different animal population habitats and extinction, of the spread of infectious diseases, etc.

UG

Mathematical Biology provides modelling tools to shape our complex social-ecological system to be sustainable for current and future generations. This unit includes real-life examples to understand how the provision of food, fresh water, energy and materials to a growing population has come at considerable cost to the complex system of plants, animals and biological processes that make the planet habitable. Models are developed of population growth, competition for available resources, of adaptation strategies to limited resources, of the human impact on the environment and planet's ecosystems, to different animal population habitats and extinction, of the spread of infectious diseases, etc.

UG

How numerical integration and simulation help assess environmental impact throughout a product’s lifecycle. Introduce methods like gradient descent, Newton’s method in problems related to supply chain sustainability.

UG

BVPs are used to model the temperature distribution in solar panels to maximize efficiency and prevent overheating.

UG

Optimization, sustainable manufacturing, structural integrity

UG

Indirectly addresses sustainability since any quantitative modelling of sustainability requires mathematics. Mathematics is fundamental to sustainability because it provides the tools needed to understand, model, and solve complex environmental, economic, and social challenges. Through mathematical modelling, it is possible to simulate environmental systems, predict future scenarios, and develop sustainable solutions. Statistical analysis supports the monitoring of sustainability indicators, such as carbon emissions, water usage, and population growth, guiding policies that balance economic growth with environmental conservation.

PG

Indirectly addresses sustainability since any quantitative modelling of sustainability requires mathematics. Mathematics is fundamental to sustainability because it provides the tools needed to understand, model, and solve complex environmental, economic, and social challenges. Through mathematical modelling, it is possible to simulate environmental systems, predict future scenarios, and develop sustainable solutions. Statistical analysis supports the monitoring of sustainability indicators, such as carbon emissions, water usage, and population growth, guiding policies that balance economic growth with environmental conservation.

PG

Indirectly addresses sustainability since any quantitative modelling of sustainability requires mathematics. Mathematics is fundamental to sustainability because it provides the tools needed to understand, model, and solve complex environmental, economic, and social challenges. Through mathematical modelling, it is possible to simulate environmental systems, predict future scenarios, and develop sustainable solutions. Statistical analysis supports the monitoring of sustainability indicators, such as carbon emissions, water usage, and population growth, guiding policies that balance economic growth with environmental conservation.

PG

Indirectly addresses sustainability since any quantitative modelling of sustainability requires mathematics. Mathematics is fundamental to sustainability because it provides the tools needed to understand, model, and solve complex environmental, economic, and social challenges. Through mathematical modelling, it is possible to simulate environmental systems, predict future scenarios, and develop sustainable solutions. Statistical analysis supports the monitoring of sustainability indicators, such as carbon emissions, water usage, and population growth, guiding policies that balance economic growth with environmental conservation.

PG

Indirectly addresses sustainability since any quantitative modelling of sustainability requires mathematics. Mathematics is fundamental to sustainability because it provides the tools needed to understand, model, and solve complex environmental, economic, and social challenges. Through mathematical modelling, it is possible to simulate environmental systems, predict future scenarios, and develop sustainable solutions. Statistical analysis supports the monitoring of sustainability indicators, such as carbon emissions, water usage, and population growth, guiding policies that balance economic growth with environmental conservation.

PG

Indirectly addresses sustainability since any quantitative modelling of sustainability requires mathematics. Mathematics is fundamental to sustainability because it provides the tools needed to understand, model, and solve complex environmental, economic, and social challenges. Through mathematical modelling, it is possible to simulate environmental systems, predict future scenarios, and develop sustainable solutions. Statistical analysis supports the monitoring of sustainability indicators, such as carbon emissions, water usage, and population growth, guiding policies that balance economic growth with environmental conservation.

PG

Spectral Graph Theory is essential for Quantum Mechanics and Quantum Computing.

PG

Indirectly addresses sustainability since any quantitative modelling of sustainability requires mathematics. Mathematics is fundamental to sustainability because it provides the tools needed to understand, model, and solve complex environmental, economic, and social challenges. Through mathematical modelling, it is possible to simulate environmental systems, predict future scenarios, and develop sustainable solutions. Statistical analysis supports the monitoring of sustainability indicators, such as carbon emissions, water usage, and population growth, guiding policies that balance economic growth with environmental conservation.

PG

Graph theory is essential for Cryptography, Network Security, and Transportation.

PG

Satellite orbits, Global Positioning System

PG

Indirectly addresses sustainability since any quantitative modelling of sustainability requires mathematics. Mathematics is fundamental to sustainability because it provides the tools needed to understand, model, and solve complex environmental, economic, and social challenges. Through mathematical modelling, it is possible to simulate environmental systems, predict future scenarios, and develop sustainable solutions. Statistical analysis supports the monitoring of sustainability indicators, such as carbon emissions, water usage, and population growth, guiding policies that balance economic growth with environmental conservation.

PG

Analyze by finite element method bridge safety model in Euler-Bernoulli beam theory in extreme weather conditions.

PG

Inverse problem theory is used in environment weather prediction, the study of climatic and ecological processes under anthropogenic influences, greenhouse gas modelling, groundwater modelling, identifying sources of pollution, emerging technologies for energy sytems, life-cycle assessment, oceanography, hydrology, petroleum engineering, non-destructive testing of materials and structures in industry, and sustainable, portable and low-cost medical imaging techniques.

UG

Programming & numerical modelling - SDG 9

UG

SDG 7 & 9

UG

SDG 7 & 9

UG

Energy efficiency & technologies Indirectly SDG 7 and 9

UG

Energy efficiency & technologies Indirectly SDG 7 and 9

UG

Emerging quantum technologies - SDG 9

UG

Concepts central to climate modelling envornmental impact assessment - SDG 13

UG

Emerging quantum technologies - SDG 9

UG

Innovative medical applications using non-ionising radiation - SDG 3 & 9

UG

SDG 9